supported by National Natural Science Foundation of China(Grant Nos.60974141,60504006,60621001,60728307,60774093);Natural Science Foundation of Liaoning Province(Grant No.20092007);Fundamental Research Funds for the Central Universities(Grant Nos.N100404015,N100404012)
This paper addresses how to numerically solve the Hamilton-Jacobin-Isaac (HJI) equations derived ffom the robust receding horizon control schemes. The developed numerical method, the finite difference scheme with si...
supported by the 111 Project(No.B08015);the National Natural Science Foundation of China(No.60534010,60572070,60774048,60728307);the Program for Changjiang Scholars and Innovative Research Groups of China(No.60521003)
This paper is concerned with the design of a memory state feedback controller for linear systems with interval time-varying delays.The time delay is assumed to be a time-varying continuous function belonging to a give...
Supported by the National Natural Science Foundation of China (Grant Nos 60534010, 60728307, 60774048, 60774093);the Program for Cheung Kong Scholars and Innovative Research Groups of China (Grant No 60521003);the National High-Tech Research & Development Programof China (Grant No 2006AA04Z183);China Postdoctoral Sciencer Foundation (Grant No 20080431150); the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No 200801451096)
This paper is concerned with the global asymptotic stability of a class of recurrent neural networks with interval time-varying delay.By constructing a suitable Lyapunov functional, a new criterion is established to e...
supported by the National Natural Science Foundation of China(60534010,60572070,60774048,60804006 and 60728307);the Program for Cheung Kong Scholars and Innovative Research Groups ofChina (60521003);the Research Fund for the Doctoral Program of China Higher Education (20070145015);the National High Technology Research and Development Program of China (2006AA04Z183)
The delay-probability-distribution-dependent robust stability problem for a class of uncertain stochastic neural networks(SNNs) with time-varying delay is investigated.The information of probability distribution of th...
supported by the National Natural Science Foundation of China (Grant Nos 60534010,60774048,60728307,60804006 and 60521003);the National High Technology Research and Development Program of China (Grant No 2006AA04Z183);Liaoning Provincial Natural Science Foundation,China (Grant No 20062018);the State Key Development Program for Basic Research of China (Grant No 2009CB320601);111 Project (Grant No B08015)
In this paper, the global impulsive exponential synchronization problem of a class of chaotic delayed neural networks (DNNs) with stochastic perturbation is studied. Based on the Lyapunov stability theory, stochasti...
supported by the National Natural Science Foundation of China (Grant Nos 60534010,60774048,60728307,60804006 and 60521003);the National High Technology Research and Development Program of China (Grant No 2006AA04Z183);Liaoning Provincial Natural Science Foundation of China (Grant No 20062018);State Key Development Program for Basic research of China (Grant No 2009CB320601);111 Project,China (Grant No B08015)
In this paper, an improved impulsive lag synchronization scheme for different chaotic systems with parametric uncertainties is proposed. Based on the new definition of synchronization with error bound and a novel impu...
supported by the National Natural Science Foundation of China (Grant Nos 60534010,60774048,60728307,60804006,60521003);the National High Technology Research and Development Program of China (863 Program) (Grant No 2006AA04Z183);the Natural Science Foundation of Liaoning Province of China (Grant No 20062018);973 Project (Grant No 2009CB320601);111 Project (Grant No B08015)
This paper is concerned with the problem of robust stability for a class of Markovian jumping stochastic neural networks (MJSNNs) subject to mode-dependent time-varying interval delay and state-multiplicative noise....